New Infosys research highlights that while executives envision AI as the next industrial revolution, transforming business models and shaping the new economy, many companies lack the foundational building blocks for successful enterprise AI adoption.

According to the research, titled enterprises expect an average increase of 15% in productivity from their current AI projects, with some anticipating up to 40% gains, yet only 2% of organisations are ready across all five key dimensions: talent, strategy, governance, data, and technology.

The biggest gaps lie in technology readiness, with only 9% of companies possessing the necessary AI capabilities like machine learning frameworks, prebuilt algorithms, and dynamic compute.

Additionally, data accuracy, processes, and accessibility are significant challenges, with only about 10% of respondents reporting ease of data location and access for AI projects.

To overcome these hurdles and realise the full potential of AI, including genAI, Infosys state that companies must address readiness gaps and foster a culture of innovation, all while having a clear AI strategy aligned with business objectives, encompassing technology investments, talent acquisition, and ethical considerations.

The research outlines five steps to close the gaps and reduce apprehensions about AI to accelerate adoption:

• Develop a comprehensive AI strategy: A strong AI strategy aligns with business objectives, enhances revenue growth, and ensures desirable, feasible, and viable use cases. Only 23% of our respondents show readiness in this area.
• Establish responsible AI governance: AI governance is crucial for managing risks like bias, misuse, and security threats. Only 10% of companies have well-defined governance processes. Responsible AI requires tailored guidelines, and a centralised AI governance team. Infosys’ Responsible AI Office, part of Infosys Topaz, demonstrates this approach by establishing policies to ensure data security and mitigate risks, enhancing AI’s value for enterprises.
• Upskill the workforce: Despite the critical role of AI in enterprises, only 21% said their employees have the requisite knowledge to adopt AI tools and techniques. Upskilling is key, yet just 12% offer adequate training. Effective AI integration hinges on closing skills gaps and fostering collaboration. Forward-thinking firms are creating AI skill pathways to ensure readiness.
• Prepare data infrastructure for AI: Data health is crucial for AI success but remains a challenge. Only 10% of the companies find their data easy to access, while 30% rate their data accuracy and governance as poor. Enterprises need to constantly assess their systems, improve data quality, and ensure proper storage for effective AI implementation.
• Cultivate a culture of tech-powered innovation: Technology is a significant gap in enterprise AI readiness, with only 9% of companies fully prepared. Investing in foundational technologies like machine learning and automation can improve customer experience, reduce errors, and enhance compliance. Fostering a culture of innovation and employee readiness for AI adoption enables enterprises to create better value.

“To become enterprise-wide AI-ready and realise the promise of this technology, including gen AI, it is imperative to establish a robust and scalable foundation,” says Mohammed Rafee Tarafdar, chief technology officer, Infosys.

Recommended reading

• 600M Cyber-attacks Daily, Microsoft Report Reveals
• NCSC Issues Warning Over Iran Spear-Phishing Attacks
• 67% of Healthcare Organisations Hit by Ransomware In the Past Year

“Our research and learnings from our AI-first transformation journey has shown that data readiness, enterprise gen AI platform with responsible AI guardrails, and AI talent transformation are key to accelerate and democratise AI development. This must be complemented by an AI foundry and factory model for scaling AI initiatives across the enterprise.”